RESEAUX_SOCIAUX_LABELS Report

Dataset statistics

Number of variables	19
Number of observations	529
Missing cells	1066
Missing cells (%)	10.6%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	78.7 KiB
Average record size in memory	152.2 B

Variable types

Numeric	9
Categorical	10

Alerts

`nbinsta` is highly overall correlated with `nbtik` and 1 other fields	High correlation
`nbtwit` is highly overall correlated with `twitter`	High correlation
`nbsnap` is highly overall correlated with `snapchat`	High correlation
`nbtik` is highly overall correlated with `nbinsta` and 1 other fields	High correlation
`googp` is highly overall correlated with `googmp`	High correlation
`googmp` is highly overall correlated with `googp`	High correlation
`instagra` is highly overall correlated with `nbinsta`	High correlation
`twitter` is highly overall correlated with `nbtwit`	High correlation
`snapchat` is highly overall correlated with `nbsnap`	High correlation
`tiktok` is highly overall correlated with `nbtik`	High correlation
`instagra` is highly imbalanced (79.4%)	Imbalance
`nbinsta` has 21 (4.0%) missing values	Missing
`nbtwit` has 372 (70.3%) missing values	Missing
`snapchat` has 7 (1.3%) missing values	Missing
`nbsnap` has 259 (49.0%) missing values	Missing
`nbtik` has 332 (62.8%) missing values	Missing
`instap` has 8 (1.5%) missing values	Missing
`snapp` has 13 (2.5%) missing values	Missing
`googp` has 10 (1.9%) missing values	Missing
`googmp` has 10 (1.9%) missing values	Missing
`random_id4` has unique values	Unique
`nbtwit` has 19 (3.6%) zeros	Zeros
`instap` has 222 (42.0%) zeros	Zeros
`snapp` has 421 (79.6%) zeros	Zeros
`googp` has 143 (27.0%) zeros	Zeros
`googmp` has 190 (35.9%) zeros	Zeros

Reproduction

Analysis started	2024-02-06 10:12:42.794866
Analysis finished	2024-02-06 10:12:47.146318
Duration	4.35 seconds
Software version	ydata-profiling v0.0.dev0
Download configuration	config.json

random_id4
Real number (ℝ)

UNIQUE

Distinct	529
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5116062.9

Minimum	37320
Maximum	9973576
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	4.3 KiB

Quantile statistics

Minimum	37320
5-th percentile	647120
Q1	2925179
median	5121654
Q3	7503167
95-th percentile	9217394.2
Maximum	9973576
Range	9936256
Interquartile range (IQR)	4577988

Descriptive statistics

Standard deviation	2788763.2
Coefficient of variation (CV)	0.54509948
Kurtosis	-1.1307902
Mean	5116062.9
Median Absolute Deviation (MAD)	2330145
Skewness	-0.073446117
Sum	2.7063972 × 10⁹
Variance	7.7772001 × 10¹²
Monotonicity	Strictly increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
37320	1	0.2%
6583444	1	0.2%
6967343	1	0.2%
6953254	1	0.2%
6865922	1	0.2%
6837858	1	0.2%
6820649	1	0.2%
6818054	1	0.2%
6757890	1	0.2%
6752959	1	0.2%
Other values (519)	519	98.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
37320	1	0.2%
75227	1	0.2%
78695	1	0.2%
80831	1	0.2%
140145	1	0.2%
142591	1	0.2%
154015	1	0.2%
157492	1	0.2%
180228	1	0.2%
215268	1	0.2%

Value	Count	Frequency (%)
9973576	1	0.2%
9956964	1	0.2%
9947814	1	0.2%
9940978	1	0.2%
9928746	1	0.2%
9897608	1	0.2%
9816676	1	0.2%
9801565	1	0.2%
9745640	1	0.2%
9741187	1	0.2%

survey
Categorical

Distinct	2
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	4.3 KiB

ScPoBx_1A	299
ScPoBx_3A	230

Length

Max length	9
Median length	9
Mean length	9
Min length	9

Characters and Unicode

Total characters	4761
Distinct characters	10
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	ScPoBx_3A
2nd row	ScPoBx_3A
3rd row	ScPoBx_3A
4th row	ScPoBx_1A
5th row	ScPoBx_1A

Common Values

Value	Count	Frequency (%)
ScPoBx_1A	299	56.5%
ScPoBx_3A	230	43.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
scpobx_1a	299	56.5%
scpobx_3a	230	43.5%

Most occurring characters

Value	Count	Frequency (%)
S	529	11.1%
c	529	11.1%
P	529	11.1%
o	529	11.1%
B	529	11.1%
x	529	11.1%
_	529	11.1%
A	529	11.1%
1	299	6.3%
3	230	4.8%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	2116	44.4%
Lowercase Letter	1587	33.3%
Connector Punctuation	529	11.1%
Decimal Number	529	11.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
S	529	25.0%
P	529	25.0%
B	529	25.0%
A	529	25.0%

Lowercase Letter

Value	Count	Frequency (%)
c	529	33.3%
o	529	33.3%
x	529	33.3%

Decimal Number

Value	Count	Frequency (%)
1	299	56.5%
3	230	43.5%

Connector Punctuation

Value	Count	Frequency (%)
_	529	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	3703	77.8%
Common	1058	22.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
S	529	14.3%
c	529	14.3%
P	529	14.3%
o	529	14.3%
B	529	14.3%
x	529	14.3%
A	529	14.3%

Common

Value	Count	Frequency (%)
_	529	50.0%
1	299	28.3%
3	230	21.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4761	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
S	529	11.1%
c	529	11.1%
P	529	11.1%
o	529	11.1%
B	529	11.1%
x	529	11.1%
_	529	11.1%
A	529	11.1%
1	299	6.3%
3	230	4.8%

tps_rs
Categorical

Distinct	5
Distinct (%)	1.0%
Missing	4
Missing (%)	0.8%
Memory size	4.3 KiB

3.0	206
2.0	172
1.0	76
4.0	59
5.0	12

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	1575
Distinct characters	7
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2.0
2nd row	3.0
3rd row	2.0
4th row	2.0
5th row	4.0

Common Values

Value	Count	Frequency (%)
3.0	206	38.9%
2.0	172	32.5%
1.0	76	14.4%
4.0	59	11.2%
5.0	12	2.3%
(Missing)	4	0.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
3.0	206	39.2%
2.0	172	32.8%
1.0	76	14.5%
4.0	59	11.2%
5.0	12	2.3%

Most occurring characters

Value	Count	Frequency (%)
.	525	33.3%
0	525	33.3%
3	206	13.1%
2	172	10.9%
1	76	4.8%
4	59	3.7%
5	12	0.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1050	66.7%
Other Punctuation	525	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	525	50.0%
3	206	19.6%
2	172	16.4%
1	76	7.2%
4	59	5.6%
5	12	1.1%

Other Punctuation

Value	Count	Frequency (%)
.	525	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1575	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	525	33.3%
0	525	33.3%
3	206	13.1%
2	172	10.9%
1	76	4.8%
4	59	3.7%
5	12	0.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1575	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	525	33.3%
0	525	33.3%
3	206	13.1%
2	172	10.9%
1	76	4.8%
4	59	3.7%
5	12	0.8%

instagra
Categorical

HIGH CORRELATION IMBALANCE

Distinct	2
Distinct (%)	0.4%
Missing	3
Missing (%)	0.6%
Memory size	4.3 KiB

J'ai	509
Je n'ai pas	17

Length

Max length	11
Median length	4
Mean length	4.2262357
Min length	4

Characters and Unicode

Total characters	2223
Distinct characters	9
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	J'ai
2nd row	J'ai
3rd row	J'ai
4th row	J'ai
5th row	J'ai

Common Values

Value	Count	Frequency (%)
J'ai	509	96.2%
Je n'ai pas	17	3.2%
(Missing)	3	0.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
j'ai	509	90.9%
je	17	3.0%
n'ai	17	3.0%
pas	17	3.0%

Most occurring characters

Value	Count	Frequency (%)
a	543	24.4%
J	526	23.7%
'	526	23.7%
i	526	23.7%
	34	1.5%
e	17	0.8%
n	17	0.8%
p	17	0.8%
s	17	0.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1137	51.1%
Uppercase Letter	526	23.7%
Other Punctuation	526	23.7%
Space Separator	34	1.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	543	47.8%
i	526	46.3%
e	17	1.5%
n	17	1.5%
p	17	1.5%
s	17	1.5%

Uppercase Letter

Value	Count	Frequency (%)
J	526	100.0%

Other Punctuation

Value	Count	Frequency (%)
'	526	100.0%

Space Separator

Value	Count	Frequency (%)
	34	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1663	74.8%
Common	560	25.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	543	32.7%
J	526	31.6%
i	526	31.6%
e	17	1.0%
n	17	1.0%
p	17	1.0%
s	17	1.0%

Common

Value	Count	Frequency (%)
'	526	93.9%
	34	6.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2223	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	543	24.4%
J	526	23.7%
'	526	23.7%
i	526	23.7%
	34	1.5%
e	17	0.8%
n	17	0.8%
p	17	0.8%
s	17	0.8%

nbinsta
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	280
Distinct (%)	55.1%
Missing	21
Missing (%)	4.0%
Infinite	0
Infinite (%)	0.0%
Mean	438.31299

Minimum	18
Maximum	3758
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	4.3 KiB

Quantile statistics

Minimum	18
5-th percentile	91.35
Q1	200
median	354.5
Q3	580
95-th percentile	1034.75
Maximum	3758
Range	3740
Interquartile range (IQR)	380

Descriptive statistics

Standard deviation	352.96269
Coefficient of variation (CV)	0.80527543
Kurtosis	20.310765
Mean	438.31299
Median Absolute Deviation (MAD)	161
Skewness	3.165841
Sum	222663
Variance	124582.66
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
400	19	3.6%
500	18	3.4%
300	16	3.0%
200	16	3.0%
150	12	2.3%
600	11	2.1%
450	10	1.9%
250	10	1.9%
350	8	1.5%
900	7	1.3%
Other values (270)	381	72.0%
(Missing)	21	4.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
18	1	0.2%
30	1	0.2%
37	1	0.2%
38	1	0.2%
39	1	0.2%
50	1	0.2%
53	1	0.2%
54	1	0.2%
60	4	0.8%
70	2	0.4%

Value	Count	Frequency (%)
3758	1	0.2%
2888	1	0.2%
2000	1	0.2%
1750	1	0.2%
1600	2	0.4%
1524	1	0.2%
1400	2	0.4%
1300	3	0.6%
1235	1	0.2%
1200	3	0.6%

twitter
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	0.4%
Missing	5
Missing (%)	0.9%
Memory size	4.3 KiB

Je n'ai pas	365
J'ai	159

Length

Max length	11
Median length	11
Mean length	8.8759542
Min length	4

Characters and Unicode

Total characters	4651
Distinct characters	9
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Je n'ai pas
2nd row	Je n'ai pas
3rd row	J'ai
4th row	Je n'ai pas
5th row	Je n'ai pas

Common Values

Value	Count	Frequency (%)
Je n'ai pas	365	69.0%
J'ai	159	30.1%
(Missing)	5	0.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
je	365	29.1%
n'ai	365	29.1%
pas	365	29.1%
j'ai	159	12.7%

Most occurring characters

Value	Count	Frequency (%)
a	889	19.1%
	730	15.7%
J	524	11.3%
'	524	11.3%
i	524	11.3%
e	365	7.8%
n	365	7.8%
p	365	7.8%
s	365	7.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2873	61.8%
Space Separator	730	15.7%
Uppercase Letter	524	11.3%
Other Punctuation	524	11.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	889	30.9%
i	524	18.2%
e	365	12.7%
n	365	12.7%
p	365	12.7%
s	365	12.7%

Space Separator

Value	Count	Frequency (%)
	730	100.0%

Uppercase Letter

Value	Count	Frequency (%)
J	524	100.0%

Other Punctuation

Value	Count	Frequency (%)
'	524	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	3397	73.0%
Common	1254	27.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	889	26.2%
J	524	15.4%
i	524	15.4%
e	365	10.7%
n	365	10.7%
p	365	10.7%
s	365	10.7%

Common

Value	Count	Frequency (%)
	730	58.2%
'	524	41.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4651	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	889	19.1%
	730	15.7%
J	524	11.3%
'	524	11.3%
i	524	11.3%
e	365	7.8%
n	365	7.8%
p	365	7.8%
s	365	7.8%

nbtwit
Real number (ℝ)

HIGH CORRELATION MISSING ZEROS

Distinct	63
Distinct (%)	40.1%
Missing	372
Missing (%)	70.3%
Infinite	0
Infinite (%)	0.0%
Mean	66.745223

Minimum	0
Maximum	1907
Zeros	19
Zeros (%)	3.6%
Negative	0
Negative (%)	0.0%
Memory size	4.3 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	3
median	15
Q3	50
95-th percentile	214.2
Maximum	1907
Range	1907
Interquartile range (IQR)	47

Descriptive statistics

Standard deviation	191.64858
Coefficient of variation (CV)	2.8713453
Kurtosis	59.520178
Mean	66.745223
Median Absolute Deviation (MAD)	14
Skewness	7.0304081
Sum	10479
Variance	36729.178
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	19	3.6%
3	10	1.9%
2	10	1.9%
10	10	1.9%
50	7	1.3%
20	7	1.3%
30	6	1.1%
150	5	0.9%
1	4	0.8%
15	4	0.8%
Other values (53)	75	14.2%
(Missing)	372	70.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	19	3.6%
1	4	0.8%
2	10	1.9%
3	10	1.9%
4	3	0.6%
5	4	0.8%
6	3	0.6%
7	2	0.4%
8	1	0.2%
9	2	0.4%

Value	Count	Frequency (%)
1907	1	0.2%
1050	1	0.2%
763	1	0.2%
400	1	0.2%
364	1	0.2%
351	1	0.2%
300	1	0.2%
271	1	0.2%
200	2	0.4%
193	1	0.2%

snapchat
Categorical

HIGH CORRELATION MISSING

Distinct	2
Distinct (%)	0.4%
Missing	7
Missing (%)	1.3%
Memory size	4.3 KiB

J'ai	277
Je n'ai pas	245

Length

Max length	11
Median length	4
Mean length	7.2854406
Min length	4

Characters and Unicode

Total characters	3803
Distinct characters	9
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Je n'ai pas
2nd row	J'ai
3rd row	Je n'ai pas
4th row	J'ai
5th row	J'ai

Common Values

Value	Count	Frequency (%)
J'ai	277	52.4%
Je n'ai pas	245	46.3%
(Missing)	7	1.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
j'ai	277	27.4%
je	245	24.2%
n'ai	245	24.2%
pas	245	24.2%

Most occurring characters

Value	Count	Frequency (%)
a	767	20.2%
J	522	13.7%
'	522	13.7%
i	522	13.7%
	490	12.9%
e	245	6.4%
n	245	6.4%
p	245	6.4%
s	245	6.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2269	59.7%
Uppercase Letter	522	13.7%
Other Punctuation	522	13.7%
Space Separator	490	12.9%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	767	33.8%
i	522	23.0%
e	245	10.8%
n	245	10.8%
p	245	10.8%
s	245	10.8%

Uppercase Letter

Value	Count	Frequency (%)
J	522	100.0%

Other Punctuation

Value	Count	Frequency (%)
'	522	100.0%

Space Separator

Value	Count	Frequency (%)
	490	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2791	73.4%
Common	1012	26.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	767	27.5%
J	522	18.7%
i	522	18.7%
e	245	8.8%
n	245	8.8%
p	245	8.8%
s	245	8.8%

Common

Value	Count	Frequency (%)
'	522	51.6%
	490	48.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3803	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	767	20.2%
J	522	13.7%
'	522	13.7%
i	522	13.7%
	490	12.9%
e	245	6.4%
n	245	6.4%
p	245	6.4%
s	245	6.4%

nbsnap
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	62
Distinct (%)	23.0%
Missing	259
Missing (%)	49.0%
Infinite	0
Infinite (%)	0.0%
Mean	126.52963

Minimum	0
Maximum	2000
Zeros	1
Zeros (%)	0.2%
Negative	0
Negative (%)	0.0%
Memory size	4.3 KiB

Quantile statistics

Minimum	0
5-th percentile	10
Q1	40
median	100
Q3	150
95-th percentile	327.5
Maximum	2000
Range	2000
Interquartile range (IQR)	110

Descriptive statistics

Standard deviation	171.41245
Coefficient of variation (CV)	1.3547218
Kurtosis	55.922819
Mean	126.52963
Median Absolute Deviation (MAD)	50
Skewness	6.0736892
Sum	34163
Variance	29382.228
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
100	38	7.2%
50	30	5.7%
150	27	5.1%
200	23	4.3%
30	19	3.6%
40	15	2.8%
20	13	2.5%
60	11	2.1%
10	9	1.7%
300	9	1.7%
Other values (52)	76	14.4%
(Missing)	259	49.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1	0.2%
3	2	0.4%
4	1	0.2%
5	1	0.2%
8	1	0.2%
10	9	1.7%
12	1	0.2%
15	3	0.6%
20	13	2.5%
28	1	0.2%

Value	Count	Frequency (%)
2000	1	0.2%
1000	1	0.2%
700	2	0.4%
615	1	0.2%
600	3	0.6%
500	1	0.2%
450	1	0.2%
400	1	0.2%
354	1	0.2%
350	2	0.4%

tiktok
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	0.4%
Missing	4
Missing (%)	0.8%
Memory size	4.3 KiB

Je n'ai pas	326
J'ai	199

Length

Max length	11
Median length	11
Mean length	8.3466667
Min length	4

Characters and Unicode

Total characters	4382
Distinct characters	9
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Je n'ai pas
2nd row	J'ai
3rd row	J'ai
4th row	J'ai
5th row	J'ai

Common Values

Value	Count	Frequency (%)
Je n'ai pas	326	61.6%
J'ai	199	37.6%
(Missing)	4	0.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
je	326	27.7%
n'ai	326	27.7%
pas	326	27.7%
j'ai	199	16.9%

Most occurring characters

Value	Count	Frequency (%)
a	851	19.4%
	652	14.9%
J	525	12.0%
'	525	12.0%
i	525	12.0%
e	326	7.4%
n	326	7.4%
p	326	7.4%
s	326	7.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2680	61.2%
Space Separator	652	14.9%
Uppercase Letter	525	12.0%
Other Punctuation	525	12.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	851	31.8%
i	525	19.6%
e	326	12.2%
n	326	12.2%
p	326	12.2%
s	326	12.2%

Space Separator

Value	Count	Frequency (%)
	652	100.0%

Uppercase Letter

Value	Count	Frequency (%)
J	525	100.0%

Other Punctuation

Value	Count	Frequency (%)
'	525	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	3205	73.1%
Common	1177	26.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	851	26.6%
J	525	16.4%
i	525	16.4%
e	326	10.2%
n	326	10.2%
p	326	10.2%
s	326	10.2%

Common

Value	Count	Frequency (%)
	652	55.4%
'	525	44.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4382	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	851	19.4%
	652	14.9%
J	525	12.0%
'	525	12.0%
i	525	12.0%
e	326	7.4%
n	326	7.4%
p	326	7.4%
s	326	7.4%

nbtik
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	89
Distinct (%)	45.2%
Missing	332
Missing (%)	62.8%
Infinite	0
Infinite (%)	0.0%
Mean	866.94924

Minimum	0
Maximum	64400
Zeros	5
Zeros (%)	0.9%
Negative	0
Negative (%)	0.0%
Memory size	4.3 KiB

Quantile statistics

Minimum	0
5-th percentile	2.8
Q1	15
median	35
Q3	150
95-th percentile	1260
Maximum	64400
Range	64400
Interquartile range (IQR)	135

Descriptive statistics

Standard deviation	5830.7733
Coefficient of variation (CV)	6.7256225
Kurtosis	85.585495
Mean	866.94924
Median Absolute Deviation (MAD)	30
Skewness	8.9725812
Sum	170789
Variance	33997917
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
20	13	2.5%
30	12	2.3%
10	11	2.1%
15	10	1.9%
5	9	1.7%
200	8	1.5%
50	8	1.5%
100	7	1.3%
40	7	1.3%
0	5	0.9%
Other values (79)	107	20.2%
(Missing)	332	62.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	5	0.9%
1	1	0.2%
2	4	0.8%
3	4	0.8%
4	4	0.8%
5	9	1.7%
6	2	0.4%
7	1	0.2%
8	1	0.2%
10	11	2.1%

Value	Count	Frequency (%)
64400	1	0.2%
39000	1	0.2%
33000	1	0.2%
5400	1	0.2%
2100	1	0.2%
2000	1	0.2%
1600	1	0.2%
1500	1	0.2%
1400	1	0.2%
1300	1	0.2%

instap
Real number (ℝ)

MISSING ZEROS

Distinct	16
Distinct (%)	3.1%
Missing	8
Missing (%)	1.5%
Infinite	0
Infinite (%)	0.0%
Mean	3.3071017

Minimum	0
Maximum	50
Zeros	222
Zeros (%)	42.0%
Negative	0
Negative (%)	0.0%
Memory size	4.3 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	2
Q3	5
95-th percentile	10
Maximum	50
Range	50
Interquartile range (IQR)	5

Descriptive statistics

Standard deviation	4.8136153
Coefficient of variation (CV)	1.4555389
Kurtosis	22.238753
Mean	3.3071017
Median Absolute Deviation (MAD)	2
Skewness	3.4944337
Sum	1723
Variance	23.170892
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=16)

Value	Count	Frequency (%)
0	222	42.0%
5	108	20.4%
10	49	9.3%
2	41	7.8%
3	36	6.8%
1	27	5.1%
15	10	1.9%
4	9	1.7%
7	4	0.8%
6	4	0.8%
Other values (6)	11	2.1%
(Missing)	8	1.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	222	42.0%
1	27	5.1%
2	41	7.8%
3	36	6.8%
4	9	1.7%
5	108	20.4%
6	4	0.8%
7	4	0.8%
8	3	0.6%
9	1	0.2%

Value	Count	Frequency (%)
50	1	0.2%
30	3	0.6%
25	1	0.2%
20	2	0.4%
15	10	1.9%
10	49	9.3%
9	1	0.2%
8	3	0.6%
7	4	0.8%
6	4	0.8%

snapp
Real number (ℝ)

MISSING ZEROS

Distinct	11
Distinct (%)	2.1%
Missing	13
Missing (%)	2.5%
Infinite	0
Infinite (%)	0.0%
Mean	0.72286822

Minimum	0
Maximum	20
Zeros	421
Zeros (%)	79.6%
Negative	0
Negative (%)	0.0%
Memory size	4.3 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	5
Maximum	20
Range	20
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	2.2021041
Coefficient of variation (CV)	3.0463424
Kurtosis	29.717096
Mean	0.72286822
Median Absolute Deviation (MAD)	0
Skewness	4.8115274
Sum	373
Variance	4.8492624
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=11)

Value	Count	Frequency (%)
0	421	79.6%
2	26	4.9%
1	23	4.3%
5	21	4.0%
3	9	1.7%
10	8	1.5%
8	2	0.4%
20	2	0.4%
4	2	0.4%
15	1	0.2%
(Missing)	13	2.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	421	79.6%
1	23	4.3%
2	26	4.9%
3	9	1.7%
4	2	0.4%
5	21	4.0%
7	1	0.2%
8	2	0.4%
10	8	1.5%
15	1	0.2%

Value	Count	Frequency (%)
20	2	0.4%
15	1	0.2%
10	8	1.5%
8	2	0.4%
7	1	0.2%
5	21	4.0%
4	2	0.4%
3	9	1.7%
2	26	4.9%
1	23	4.3%

googp
Real number (ℝ)

HIGH CORRELATION MISSING ZEROS

Distinct	24
Distinct (%)	4.6%
Missing	10
Missing (%)	1.9%
Infinite	0
Infinite (%)	0.0%
Mean	7.8073218

Minimum	0
Maximum	150
Zeros	143
Zeros (%)	27.0%
Negative	0
Negative (%)	0.0%
Memory size	4.3 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	5
Q3	10
95-th percentile	25
Maximum	150
Range	150
Interquartile range (IQR)	10

Descriptive statistics

Standard deviation	12.69563
Coefficient of variation (CV)	1.6261184
Kurtosis	43.218799
Mean	7.8073218
Median Absolute Deviation (MAD)	5
Skewness	5.351079
Sum	4052
Variance	161.17902
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=24)

Value	Count	Frequency (%)
0	143	27.0%
5	106	20.0%
10	96	18.1%
15	36	6.8%
2	34	6.4%
20	20	3.8%
1	19	3.6%
3	16	3.0%
50	9	1.7%
30	8	1.5%
Other values (14)	32	6.0%
(Missing)	10	1.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	143	27.0%
1	19	3.6%
2	34	6.4%
3	16	3.0%
4	3	0.6%
5	106	20.0%
6	1	0.2%
7	6	1.1%
8	6	1.1%
9	2	0.4%

Value	Count	Frequency (%)
150	1	0.2%
100	2	0.4%
80	1	0.2%
50	9	1.7%
40	2	0.4%
35	1	0.2%
30	8	1.5%
25	3	0.6%
20	20	3.8%
15	36	6.8%

googmp
Real number (ℝ)

HIGH CORRELATION MISSING ZEROS

Distinct	20
Distinct (%)	3.9%
Missing	10
Missing (%)	1.9%
Infinite	0
Infinite (%)	0.0%
Mean	4.955684

Minimum	0
Maximum	100
Zeros	190
Zeros (%)	35.9%
Negative	0
Negative (%)	0.0%
Memory size	4.3 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	2
Q3	7
95-th percentile	15
Maximum	100
Range	100
Interquartile range (IQR)	7

Descriptive statistics

Standard deviation	8.5254537
Coefficient of variation (CV)	1.7203384
Kurtosis	46.365913
Mean	4.955684
Median Absolute Deviation (MAD)	2
Skewness	5.4879474
Sum	2572
Variance	72.68336
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=20)

Value	Count	Frequency (%)
0	190	35.9%
5	77	14.6%
10	67	12.7%
2	57	10.8%
3	27	5.1%
1	26	4.9%
15	22	4.2%
20	14	2.6%
8	10	1.9%
7	9	1.7%
Other values (10)	20	3.8%
(Missing)	10	1.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	190	35.9%
1	26	4.9%
2	57	10.8%
3	27	5.1%
4	6	1.1%
5	77	14.6%
6	2	0.4%
7	9	1.7%
8	10	1.9%
9	1	0.2%

Value	Count	Frequency (%)
100	1	0.2%
80	1	0.2%
60	1	0.2%
50	2	0.4%
30	4	0.8%
25	1	0.2%
20	14	2.6%
15	22	4.2%
13	1	0.2%
10	67	12.7%

CS05
Categorical

Distinct	4
Distinct (%)	0.8%
Missing	5
Missing (%)	0.9%
Memory size	4.3 KiB

Assez bien	291
Très bien	202
Pas bien	27
Pas intégré.e du tout	4

Length

Max length	21
Median length	10
Mean length	9.5954198
Min length	8

Characters and Unicode

Total characters	5028
Distinct characters	20
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Assez bien
2nd row	Assez bien
3rd row	Très bien
4th row	Assez bien
5th row	Assez bien

Common Values

Value	Count	Frequency (%)
Assez bien	291	55.0%
Très bien	202	38.2%
Pas bien	27	5.1%
Pas intégré.e du tout	4	0.8%
(Missing)	5	0.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
bien	520	49.2%
assez	291	27.6%
très	202	19.1%
pas	31	2.9%
intégré.e	4	0.4%
du	4	0.4%
tout	4	0.4%

Most occurring characters

Value	Count	Frequency (%)
e	815	16.2%
s	815	16.2%
	532	10.6%
i	524	10.4%
n	524	10.4%
b	520	10.3%
A	291	5.8%
z	291	5.8%
r	206	4.1%
è	202	4.0%
Other values (10)	308	6.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	3968	78.9%
Space Separator	532	10.6%
Uppercase Letter	524	10.4%
Other Punctuation	4	0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	815	20.5%
s	815	20.5%
i	524	13.2%
n	524	13.2%
b	520	13.1%
z	291	7.3%
r	206	5.2%
è	202	5.1%
a	31	0.8%
t	12	0.3%
Other values (5)	28	0.7%

Uppercase Letter

Value	Count	Frequency (%)
A	291	55.5%
T	202	38.5%
P	31	5.9%

Space Separator

Value	Count	Frequency (%)
	532	100.0%

Other Punctuation

Value	Count	Frequency (%)
.	4	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	4492	89.3%
Common	536	10.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	815	18.1%
s	815	18.1%
i	524	11.7%
n	524	11.7%
b	520	11.6%
A	291	6.5%
z	291	6.5%
r	206	4.6%
è	202	4.5%
T	202	4.5%
Other values (8)	102	2.3%

Common

Value	Count	Frequency (%)
	532	99.3%
.	4	0.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4818	95.8%
None	210	4.2%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	815	16.9%
s	815	16.9%
	532	11.0%
i	524	10.9%
n	524	10.9%
b	520	10.8%
A	291	6.0%
z	291	6.0%
r	206	4.3%
T	202	4.2%
Other values (8)	98	2.0%

None

Value	Count	Frequency (%)
è	202	96.2%
é	8	3.8%

CS12
Categorical

Distinct	3
Distinct (%)	0.6%
Missing	5
Missing (%)	0.9%
Memory size	4.3 KiB

Parfois	301
Souvent	171
Jamais	52

Length

Max length	7
Median length	7
Mean length	6.9007634
Min length	6

Characters and Unicode

Total characters	3616
Distinct characters	15
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Souvent
2nd row	Souvent
3rd row	Parfois
4th row	Souvent
5th row	Parfois

Common Values

Value	Count	Frequency (%)
Parfois	301	56.9%
Souvent	171	32.3%
Jamais	52	9.8%
(Missing)	5	0.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
parfois	301	57.4%
souvent	171	32.6%
jamais	52	9.9%

Most occurring characters

Value	Count	Frequency (%)
o	472	13.1%
a	405	11.2%
i	353	9.8%
s	353	9.8%
P	301	8.3%
r	301	8.3%
f	301	8.3%
S	171	4.7%
u	171	4.7%
v	171	4.7%
Other values (5)	617	17.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	3092	85.5%
Uppercase Letter	524	14.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	472	15.3%
a	405	13.1%
i	353	11.4%
s	353	11.4%
r	301	9.7%
f	301	9.7%
u	171	5.5%
v	171	5.5%
e	171	5.5%
n	171	5.5%
Other values (2)	223	7.2%

Uppercase Letter

Value	Count	Frequency (%)
P	301	57.4%
S	171	32.6%
J	52	9.9%

Most occurring scripts

Value	Count	Frequency (%)
Latin	3616	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	472	13.1%
a	405	11.2%
i	353	9.8%
s	353	9.8%
P	301	8.3%
r	301	8.3%
f	301	8.3%
S	171	4.7%
u	171	4.7%
v	171	4.7%
Other values (5)	617	17.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3616	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
o	472	13.1%
a	405	11.2%
i	353	9.8%
s	353	9.8%
P	301	8.3%
r	301	8.3%
f	301	8.3%
S	171	4.7%
u	171	4.7%
v	171	4.7%
Other values (5)	617	17.1%

resid2
Categorical

Distinct	3
Distinct (%)	0.6%
Missing	3
Missing (%)	0.6%
Memory size	4.3 KiB

Bordeaux	249
Pessac / Talence / Gradignan	247
Autre commune	30

Length

Max length	28
Median length	13
Mean length	17.676806
Min length	8

Characters and Unicode

Total characters	9298
Distinct characters	22
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Bordeaux
2nd row	Bordeaux
3rd row	Bordeaux
4th row	Pessac / Talence / Gradignan
5th row	Autre commune

Common Values

Value	Count	Frequency (%)
Bordeaux	249	47.1%
Pessac / Talence / Gradignan	247	46.7%
Autre commune	30	5.7%
(Missing)	3	0.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
	494	32.0%
bordeaux	249	16.1%
pessac	247	16.0%
talence	247	16.0%
gradignan	247	16.0%
autre	30	1.9%
commune	30	1.9%

Most occurring characters

Value	Count	Frequency (%)
a	1237	13.3%
e	1050	11.3%
	1018	10.9%
n	771	8.3%
r	526	5.7%
c	524	5.6%
d	496	5.3%
/	494	5.3%
s	494	5.3%
u	309	3.3%
Other values (12)	2379	25.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	6766	72.8%
Uppercase Letter	1020	11.0%
Space Separator	1018	10.9%
Other Punctuation	494	5.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	1237	18.3%
e	1050	15.5%
n	771	11.4%
r	526	7.8%
c	524	7.7%
d	496	7.3%
s	494	7.3%
u	309	4.6%
o	279	4.1%
x	249	3.7%
Other values (5)	831	12.3%

Uppercase Letter

Value	Count	Frequency (%)
B	249	24.4%
P	247	24.2%
T	247	24.2%
G	247	24.2%
A	30	2.9%

Space Separator

Value	Count	Frequency (%)
	1018	100.0%

Other Punctuation

Value	Count	Frequency (%)
/	494	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	7786	83.7%
Common	1512	16.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	1237	15.9%
e	1050	13.5%
n	771	9.9%
r	526	6.8%
c	524	6.7%
d	496	6.4%
s	494	6.3%
u	309	4.0%
o	279	3.6%
B	249	3.2%
Other values (10)	1851	23.8%

Common

Value	Count	Frequency (%)
	1018	67.3%
/	494	32.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	9298	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	1237	13.3%
e	1050	11.3%
	1018	10.9%
n	771	8.3%
r	526	5.7%
c	524	5.6%
d	496	5.3%
/	494	5.3%
s	494	5.3%
u	309	3.3%
Other values (12)	2379	25.6%

resid6
Categorical

Distinct	6
Distinct (%)	1.1%
Missing	5
Missing (%)	0.9%
Memory size	4.3 KiB

Commune rurale	177
- de 20 000 habitants	107
20 000 à 99 999 habitants	91
100 000 habitats et plus	73
Autre pays que la France	43

Length

Max length	25
Median length	24
Mean length	20.183206
Min length	14

Characters and Unicode

Total characters	10576
Distinct characters	30
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	- de 20 000 habitants
2nd row	Agglomération parisienne
3rd row	Commune rurale
4th row	100 000 habitats et plus
5th row	- de 20 000 habitants

Common Values

Value	Count	Frequency (%)
Commune rurale	177	33.5%
- de 20 000 habitants	107	20.2%
20 000 à 99 999 habitants	91	17.2%
100 000 habitats et plus	73	13.8%
Autre pays que la France	43	8.1%
Agglomération parisienne	33	6.2%
(Missing)	5	0.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
000	271	13.0%
20	198	9.5%
habitants	198	9.5%
commune	177	8.5%
rurale	177	8.5%
	107	5.1%
de	107	5.1%
à	91	4.4%
99	91	4.4%
999	91	4.4%
Other values (11)	573	27.5%

Most occurring characters

Value	Count	Frequency (%)
	1557	14.7%
0	1157	10.9%
a	914	8.6%
e	729	6.9%
t	691	6.5%
n	517	4.9%
u	513	4.9%
r	506	4.8%
9	455	4.3%
s	420	4.0%
Other values (20)	3117	29.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	6733	63.7%
Decimal Number	1883	17.8%
Space Separator	1557	14.7%
Uppercase Letter	296	2.8%
Dash Punctuation	107	1.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	914	13.6%
e	729	10.8%
t	691	10.3%
n	517	7.7%
u	513	7.6%
r	506	7.5%
s	420	6.2%
m	387	5.7%
i	370	5.5%
l	326	4.8%
Other values (11)	1360	20.2%

Decimal Number

Value	Count	Frequency (%)
0	1157	61.4%
9	455	24.2%
2	198	10.5%
1	73	3.9%

Uppercase Letter

Value	Count	Frequency (%)
C	177	59.8%
A	76	25.7%
F	43	14.5%

Space Separator

Value	Count	Frequency (%)
	1557	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	107	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	7029	66.5%
Common	3547	33.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	914	13.0%
e	729	10.4%
t	691	9.8%
n	517	7.4%
u	513	7.3%
r	506	7.2%
s	420	6.0%
m	387	5.5%
i	370	5.3%
l	326	4.6%
Other values (14)	1656	23.6%

Common

Value	Count	Frequency (%)
	1557	43.9%
0	1157	32.6%
9	455	12.8%
2	198	5.6%
-	107	3.0%
1	73	2.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	10452	98.8%
None	124	1.2%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	1557	14.9%
0	1157	11.1%
a	914	8.7%
e	729	7.0%
t	691	6.6%
n	517	4.9%
u	513	4.9%
r	506	4.8%
9	455	4.4%
s	420	4.0%
Other values (18)	2993	28.6%

None

Value	Count	Frequency (%)
à	91	73.4%
é	33	26.6%

Auto

Heatmap
Table

	random_id4	nbinsta	nbtwit	nbsnap	nbtik	instap	snapp	googp	googmp	survey	tps_rs	instagra	twitter	snapchat	tiktok	CS05	CS12	resid2	resid6
random_id4	1.000	0.001	0.045	0.087	0.001	-0.016	-0.006	-0.008	-0.005	0.000	0.070	0.000	0.000	0.000	0.000	0.000	0.077	0.000	0.000
nbinsta	0.001	1.000	0.279	0.302	0.534	0.182	0.142	0.076	-0.002	0.154	0.040	1.000	0.134	0.170	0.223	0.000	0.000	0.173	0.080
nbtwit	0.045	0.279	1.000	0.134	0.271	-0.167	0.034	-0.141	-0.161	0.000	0.020	0.000	1.000	0.000	0.000	0.148	0.082	0.000	0.114
nbsnap	0.087	0.302	0.134	1.000	0.273	-0.106	0.034	-0.043	-0.092	0.083	0.000	0.160	0.000	1.000	0.000	0.000	0.048	0.000	0.000
nbtik	0.001	0.534	0.271	0.273	1.000	0.129	0.127	-0.021	-0.116	0.062	0.000	0.000	0.000	0.035	1.000	0.000	0.000	0.154	0.000
instap	-0.016	0.182	-0.167	-0.106	0.129	1.000	0.313	0.285	0.286	0.000	0.075	0.000	0.000	0.000	0.148	0.055	0.066	0.111	0.000
snapp	-0.006	0.142	0.034	0.034	0.127	0.313	1.000	0.193	0.167	0.000	0.000	0.000	0.000	0.174	0.168	0.000	0.124	0.068	0.063
googp	-0.008	0.076	-0.141	-0.043	-0.021	0.285	0.193	1.000	0.582	0.050	0.000	0.000	0.064	0.054	0.046	0.053	0.000	0.076	0.000
googmp	-0.005	-0.002	-0.161	-0.092	-0.116	0.286	0.167	0.582	1.000	0.000	0.000	0.000	0.015	0.000	0.037	0.000	0.000	0.100	0.014
survey	0.000	0.154	0.000	0.083	0.062	0.000	0.000	0.050	0.000	1.000	0.000	0.045	0.062	0.086	0.059	0.019	0.077	0.308	0.000
tps_rs	0.070	0.040	0.020	0.000	0.000	0.075	0.000	0.000	0.000	0.000	1.000	0.280	0.185	0.147	0.319	0.077	0.093	0.075	0.020
instagra	0.000	1.000	0.000	0.160	0.000	0.000	0.000	0.000	0.000	0.045	0.280	1.000	0.074	0.126	0.101	0.088	0.182	0.065	0.071
twitter	0.000	0.134	1.000	0.000	0.000	0.000	0.000	0.064	0.015	0.062	0.185	0.074	1.000	0.144	0.187	0.053	0.000	0.000	0.084
snapchat	0.000	0.170	0.000	1.000	0.035	0.000	0.174	0.054	0.000	0.086	0.147	0.126	0.144	1.000	0.259	0.073	0.000	0.000	0.215
tiktok	0.000	0.223	0.000	0.000	1.000	0.148	0.168	0.046	0.037	0.059	0.319	0.101	0.187	0.259	1.000	0.000	0.070	0.000	0.000
CS05	0.000	0.000	0.148	0.000	0.000	0.055	0.000	0.053	0.000	0.019	0.077	0.088	0.053	0.073	0.000	1.000	0.261	0.112	0.095
CS12	0.077	0.000	0.082	0.048	0.000	0.066	0.124	0.000	0.000	0.077	0.093	0.182	0.000	0.000	0.070	0.261	1.000	0.000	0.038
resid2	0.000	0.173	0.000	0.000	0.154	0.111	0.068	0.076	0.100	0.308	0.075	0.065	0.000	0.000	0.000	0.112	0.000	1.000	0.176
resid6	0.000	0.080	0.114	0.000	0.000	0.000	0.063	0.000	0.014	0.000	0.020	0.071	0.084	0.215	0.000	0.095	0.038	0.176	1.000

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

First rows
Last rows

	random_id4	survey	tps_rs	instagra	nbinsta	twitter	nbtwit	snapchat	nbsnap	tiktok	nbtik	instap	snapp	googp	googmp	CS05	CS12	resid2	resid6
0	37320	ScPoBx_3A	2.0	J'ai	188.0	Je n'ai pas	NaN	Je n'ai pas	NaN	Je n'ai pas	NaN	5.0	5.0	0.0	0.0	Assez bien	Souvent	Bordeaux	- de 20 000 habitants
1	75227	ScPoBx_3A	3.0	J'ai	400.0	Je n'ai pas	NaN	J'ai	40.0	J'ai	100.0	0.0	0.0	0.0	0.0	Assez bien	Souvent	Bordeaux	Agglomération parisienne
2	78695	ScPoBx_3A	2.0	J'ai	353.0	J'ai	12.0	Je n'ai pas	NaN	J'ai	271.0	3.0	0.0	10.0	3.0	Très bien	Parfois	Bordeaux	Commune rurale
3	80831	ScPoBx_1A	2.0	J'ai	450.0	Je n'ai pas	NaN	J'ai	4.0	J'ai	11.0	5.0	0.0	13.0	13.0	Assez bien	Souvent	Pessac / Talence / Gradignan	100 000 habitats et plus
4	140145	ScPoBx_1A	4.0	J'ai	120.0	Je n'ai pas	NaN	J'ai	10.0	J'ai	10.0	0.0	0.0	7.0	15.0	Assez bien	Parfois	Autre commune	- de 20 000 habitants
5	142591	ScPoBx_1A	4.0	J'ai	1400.0	Je n'ai pas	NaN	Je n'ai pas	NaN	J'ai	230.0	NaN	NaN	NaN	NaN	Assez bien	Souvent	Pessac / Talence / Gradignan	Agglomération parisienne
6	154015	ScPoBx_3A	3.0	J'ai	450.0	Je n'ai pas	NaN	Je n'ai pas	NaN	Je n'ai pas	NaN	3.0	0.0	10.0	1.0	Assez bien	Parfois	Autre commune	20 000 à 99 999 habitants
7	157492	ScPoBx_3A	4.0	J'ai	170.0	J'ai	3.0	Je n'ai pas	NaN	Je n'ai pas	NaN	0.0	0.0	10.0	10.0	Assez bien	Parfois	Pessac / Talence / Gradignan	Commune rurale
8	180228	ScPoBx_1A	1.0	J'ai	200.0	Je n'ai pas	NaN	Je n'ai pas	NaN	J'ai	15.0	5.0	0.0	15.0	20.0	Assez bien	Parfois	Bordeaux	Commune rurale
9	215268	ScPoBx_1A	2.0	J'ai	250.0	Je n'ai pas	NaN	J'ai	20.0	Je n'ai pas	NaN	2.0	1.0	5.0	2.0	Assez bien	Parfois	Pessac / Talence / Gradignan	Agglomération parisienne

	random_id4	survey	tps_rs	instagra	nbinsta	twitter	nbtwit	snapchat	nbsnap	tiktok	nbtik	instap	snapp	googp	googmp	CS05	CS12	resid2	resid6
519	9741187	ScPoBx_3A	1.0	J'ai	130.0	Je n'ai pas	NaN	Je n'ai pas	NaN	Je n'ai pas	NaN	3.0	NaN	NaN	NaN	Assez bien	Souvent	Pessac / Talence / Gradignan	Autre pays que la France
520	9745640	ScPoBx_1A	2.0	J'ai	500.0	Je n'ai pas	NaN	J'ai	200.0	Je n'ai pas	NaN	0.0	0.0	10.0	0.0	Assez bien	Parfois	Pessac / Talence / Gradignan	- de 20 000 habitants
521	9801565	ScPoBx_1A	3.0	J'ai	433.0	Je n'ai pas	NaN	J'ai	NaN	J'ai	22.0	5.0	5.0	5.0	0.0	Assez bien	Parfois	Pessac / Talence / Gradignan	20 000 à 99 999 habitants
522	9816676	ScPoBx_3A	1.0	J'ai	166.0	Je n'ai pas	NaN	Je n'ai pas	NaN	Je n'ai pas	NaN	0.0	0.0	5.0	2.0	Très bien	Parfois	Bordeaux	Agglomération parisienne
523	9897608	ScPoBx_1A	2.0	J'ai	180.0	J'ai	4.0	Je n'ai pas	NaN	Je n'ai pas	NaN	5.0	0.0	0.0	2.0	Assez bien	Parfois	Bordeaux	100 000 habitats et plus
524	9928746	ScPoBx_1A	3.0	J'ai	100.0	Je n'ai pas	NaN	Je n'ai pas	NaN	J'ai	4.0	0.0	0.0	0.0	0.0	Très bien	Parfois	Pessac / Talence / Gradignan	Agglomération parisienne
525	9940978	ScPoBx_1A	1.0	J'ai	820.0	J'ai	7.0	Je n'ai pas	NaN	J'ai	398.0	0.0	0.0	5.0	10.0	Très bien	Parfois	Pessac / Talence / Gradignan	- de 20 000 habitants
526	9947814	ScPoBx_3A	1.0	J'ai	717.0	Je n'ai pas	NaN	Je n'ai pas	NaN	J'ai	1163.0	10.0	0.0	10.0	0.0	Très bien	Parfois	Bordeaux	Autre pays que la France
527	9956964	ScPoBx_1A	1.0	Je n'ai pas	NaN	Je n'ai pas	NaN	Je n'ai pas	NaN	Je n'ai pas	NaN	0.0	0.0	0.0	0.0	Assez bien	Parfois	Autre commune	- de 20 000 habitants
528	9973576	ScPoBx_3A	2.0	J'ai	800.0	J'ai	150.0	J'ai	100.0	Je n'ai pas	NaN	1.0	1.0	0.0	0.0	Très bien	Parfois	Bordeaux	Commune rurale

Overview

Variables

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Uppercase Letter

Lowercase Letter

Decimal Number

Connector Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Other Punctuation

Space Separator

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Space Separator

Uppercase Letter

Other Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Other Punctuation

Space Separator

Most occurring scripts

Most frequent character per script

Latin